现代海底块状硫化物矿床储量估算方法探讨

海底块状硫化物矿床具有巨大的经济价值和良好的开发前景。但是由于勘探难度和技术手段的限制,在全球已经发现的600多个海底热液喷口和硫化物矿床中,不到5%的矿床进行了详细的勘探,进行资源量计算的矿床更是屈指可数。选择适当的方法估算储量对于深海资源开发意义重大。本文系统总结了前人估算海底硫化物储量的方法,并以勘探程度相对较高、数据资料相对丰富的Atlantis-II-Deep矿床和Solwara 1矿床为例,评析了前人采用不同储量计算方法得到的结果和各种方法计算的准确性;针对有一定钻孔数据的TAG硫化物堆丘,采用距离反比法重新计算了储量,并和块段法估算的结果进行对比。得到以下结论:(1)海底硫化物矿体形态是制约储量估算方法适用性的一个重要因素;(2)传统几何法可以在极低勘探条件下估算海底硫化物储量量级;(3)对于海底硫化物储量估算,地质统计学的精度高于传统几何法;(4)较高勘探条件下距离反比法可以与地质统计学相互对照、验证;(5)在一定钻孔数量的条件下,可以应用距离反比法进行海底硫化物储量估算。     

Assessing grade domain of iron ore deposit using geostatistical modelling: A case study

Conventional methods of ore deposit estimates are time consuming, whereas geostatistical methods provide quick and reliable estimates with minimum variance. Geostatistical tools, semi-variograms and kriging, have been used for estimation of grades of an iron ore deposit in the present study. In order to model the deposit and estimate grade, 4537 samples collected from 93 boreholes were used in the study. 3-D data have been converted to 2-D for analyzing the variation of Fe within the boreholes. For each borehole, the weighted mean of Fe grade and its coefficient of variation (CV) are calculated and further analysis is carried out for these two variables. Semi-variogram model suggests that the deposit extends over a zone of influence up to 700 m. Grade maps of kriged estimates reveal that the iron ore deposit is distributed in three distinct zones.     

矿区尺度的品位-吨位模型研究探讨——以崤山金矿区为例

矿床品位-吨位模型属于矿床统计模型,是矿产资源潜力评价的重要组成部分。依据河南省陕县金矿储量核查成果数据,选取崤山金矿区为研究对象,利用SPSS软件及Excel对全矿区75个金矿矿体块段品位、吨位数据进行频率分布分析与处理,然后进行P-P图及Q-Q图正态检验,建立了矿体块段品位模型、吨位模型、品位-吨位联合模型。总结了崤山金矿区矿体块段品位及吨位分布的典型数学地质特征,并探讨了品位-吨位模型在该矿区资源预测评价中的作用,为今后矿区的地质工作提供指导。     

Comparison of machine learning methods for copper ore grade estimation

In this study, machine learning methods such as neural networks, random forests, and Gaussian processes are applied to the estimation of copper grade in a mineral deposit. The performance of these methods is compared to geostatistical techniques, such as ordinary kriging and indicator kriging. To ensure that these comparisons are realistic and relevant, the predictive accuracy is estimated on test instances located in drill holes that are different from the training data. The results of an extensive empirical study in the Sarcheshmeh porphyry copper deposit in Southeastern Iran illustrate that specially designed Gaussian processes with a symmetric standardization of the spatial location inputs and an anisotropic kernel yield the most accurate predictions. Furthermore, significant improvements are obtained when, besides location, information on the rock type is included in the set of predictor variables. This observation highlights the importance of carrying out detailed studies of the geological composition of the deposit to obtain more accurate ore grade predictions.     

湘潭石潭海泡石粘土矿床特征及找矿方向

赋存于茅口组下部含泥质灰岩段的矿体呈似层状、透镜状，长3500－5600m，平均厚4.39-5.15m，矿石品位一般8%-20%，最高可达65％。矿石有原岩型和粘土型两类，粘土型矿石一般呈灰－深灰色，干燥后呈灰白色，硬度1－2，比重1.6-2.3t/m^3，粘性强，可塑性好，透水性强。主要矿物成分有海泡石、石英、方解石、滑石、蒙脱石、伊利石和氟磷石等,矿石富Si、Mg、贫K、Na,CaO、Al2O3含量偏高。早二叠世江南古陆两侧局限（浅）海或海湾环境有利于海泡石沉积。在永顺－石门、安化－浏阳、怀化－浏阳成矿带，具有良好的找矿前景，估计海泡石资源量在3000万吨以上。     

中国铁矿床品位-吨位模型

文章以2005年国家有关部门公布的铁矿储量数据为依据,在拥有翔实和权威的铁矿数据材料的基础上,经过分析整理和统计计算,以铁矿的6种矿床类型(沉积变质型、沉积型、矽卡岩型、岩浆岩型、火山岩型和风化型)为划分依据,建立了中国铁矿及其伴生矿种的品位和吨位模型,并对其品位-吨位联合分布的模型进行了研究。通过研究得出结论,中国铁矿的资源量不服从正态分布,经过对数变换后服从正态分布,品位除了矽卡岩之外都直接服从正态分布。由于铁矿的品位和吨位之间相关性较差,因而不具备分形特征。最后通过建立吨位和品位的直方图来构造正态分布函数,从而实现累计概率曲线的拟合。在取得了远景区的矿床类型、矿床数分布以及矿床的品位和吨位的累计概率曲线后,可以使用计算机通过蒙特卡洛模拟的方法来实现远景区资源量的预测和模拟。     

Proportional sampling — A new philosophy of metallurgical accounting

This paper shortly describes a method making it possible to obtain, as the result of a single sampling operation, a “proportional sample” thanks to which the tonnage of material sampled can be accurately determined, as well as its grade.The tonnage estimation is reported to be more accurate and more reliable than the estimation obtained by means of conventional methods such as belt-scales (solids), flow- and density-meters (pulps), which makes the method very attractive. It was successfully tested at pilot scale and is being implemented in a full-scale flotation plant.By generalizing this sampling method to the various materials fed to or produced by a metallurgical plant (e.g. a flotation plant) a very accurate metallurgical balance can be established. Industrial results will be published as soon as available.     

Influence of the ore block model estimation on the determination of the mining cutoff grade policy for sustainable mine production

Strategic mine planning includes different cut-off grade policy depending on economic parameters of mining projects and grade–tonnage distribution of the deposit. Minimizing incorrect classification of ore and waste during grade–tonnage distribution is of critical importance for a mining operation. This article reviews the influence of the ore grade–tonnage distribution over the cut-off grade policy in a given mining operation. In this study, firstly, the interpolation parameters used to characterize the grade–tonnage distribution in the orebody are given. The resulting distribution of ore and waste is used to analyze uncertainty, risk impact, and to justify mine-planning decisions, according to the interpolation technique used and the number of geological settings and sampling scenarios being considered. Then, the working scheme of the cut-off grade policy and economic parameters are compared according to the resulting estimation from the inverse distance and the nearest neighbor methods.     

Mineralogical characteristics and mineral economics of Sanu and Gotan SMS grade limestone deposits of Rajasthan

Two large, chemically similar, SMS grade limestone deposits occur in Sanu area of Jaisalmer and Gotan area of Nagaur, Rajasthan. The Sanu deposit belongs to Khuiala Formation of Tertiary sequence of lower Eocene age, while Gotan deposit belongs to Bilara Group of Marwar Supergroup of late Neoproterozoic to early Cambrian. These deposits are being developed and utilised as flux in the steel plants of India. The Sanu limestone of Jaisalmer is more suitable compared to Gotan and other limestone deposits of the country due to its superior and favourable physical properties. Mineralogically, it consists of fine-grained, sub-rounded to rounded grains of calcite mainly replacing tests of the larger foraminifera. While, the Gotan limestone is composed of fine to coarse-grained, angular to sub-rounded grains of calcite. In Sanu area, about 54% of the limestone produced is being generated as −30 mm grit during the process of sizing for SMS grade. This lower size of limestone is suitable for making cement but due to non-avaibility of rail transport facility from Sanu to Jaisalmer for a distance of about 60 km, it remains unutilised as mineral reject.     

基于SD法估算东安金矿床5号矿体资源储量

资源储量估算是矿产地质勘查工作中的一项重要任务,是估算矿床经济价值和矿山设计的基本依据。SD资源储量估算和审定方法（SD法）,诞生于20世纪80年代,它是一种以SD动态分维几何学为理论,以最佳结构地质变量为基础的资源储量估算方法,适于不同矿种及矿产勘查开采各个阶段,它应用SD精度法,成功量化矿产资源储量的地质可靠程度,...     

Geochemical assessment of a siliceous limestone sample for cement making

A low grade siliceous limestone sample from the Jayantipuram mine of Andhra Pradesh, India, has been investigated for its suitability for cement making. Petrological as well as X-ray diffraction pattern studies indicated that the limestone sample was crystalline and dominantly composed of calcite and quartz. They are simple in mineralogy, and yet they have variable silica and lime contents. Geochemical analysis results of twenty five hand picked samples indicated that the limestone from the Jayantipuram mine shows a wide range of variations in LOI (29.94% to 40.64%), SiO2 (6.14% to 27.18%), CaO (37.93% to 50.78%), Al2O3 (0.49% to 2.27%) and Fe2O3 (0.28% to 2.4%). MgO, K2O, Na2O, TiO2 and MnO2 are present in traces. CaO with LOI shows a strong positive correlation where as CaO with SiO2 shows a strong negative correlation because of mineralogical factors. The chemical composition of the limestone reflects its mineralogical composition. The distribution of various elements in the acid-soluble fraction has been studied by the factor analysis method in order to interpret in terms of their mineralogy, sedimentary environment and diagenesis. Mineralogy, recrystallization and other diagenetic changes are the main factors affecting the distribution of the elements and their mutual relationships in the limestone. The aim of this paper is also to analyze how significantly the two parameters, silica modulus and lime saturation factor, influence this low grade siliceous limestone sample from the Jayantipuram mine of Andhra Pradesh, India, for the cement making process from the geochemical data.     

资源量估算的边界分析与矿化体圈定

资源量估算总是在特定的估算域中进行,其边界条件对估值结果有着显著的影响。传统方法采取用工业指标来圈定矿体并进行资源量估算的硬边界条件,过于强调了矿床的经济性,而对矿床的地质和地质统计学规律重视不够。本文介绍了国际上流行的资源量估算域的相关概念及边界分析方法,并通过实际案例来探讨其在资源量估算中的应用,在此基础上提出了利用三维软件进行矿(化)体圈定的基本原则。实践表明,利用软边界约束或圈定矿化体进行品位估计,可能更符合勘查阶段资源量估算的要求,进而降低估算域边界的不确定性带来的估值风险。     

山西塔儿山地区夕卡岩型铁矿的赋矿围岩特征及控矿作用

山西塔儿山地区的夕卡岩型铁矿是山西省的重要铁矿类型。夕卡岩型铁矿的赋矿围岩以中奥陶统碳酸盐岩为主,分为下马家沟组、上马家沟组和峰峰组,共3个组7个岩性段。该区中奥陶统的特点是白云质成分较高,较纯的灰岩较少,表现为潮上潟湖相、潮上盐坪相和潮下陆棚相交替的沉积环境;岩石富MgO,大部分碳酸盐岩的CaO/MgO值为2.63~5.51,属于方解质白云岩或富白云质灰岩;在热液交代作用过程中,白云质灰岩、钙质白云岩经热液交代形成了镁夕卡岩岩石组合,以透辉石-金云母夕卡岩、透辉石夕卡岩和金云母夕卡岩为主,铁矿体主要产于镁质夕卡岩中。中奥陶统碳酸盐岩的控矿作用表现为:大部分的铁矿体都产于由富镁碳酸盐岩蚀变而成的镁夕卡岩中,围岩中的镁质可以降低岩浆温度和黏度,转换硅酸盐中的铁质,形成镁质夕卡岩和铁质堆积;含石膏层的碳酸盐岩在成矿中具有关键性作用,不仅能够改善岩浆和流体的物理-化学性状,促进蚀变和矿化,还能提供有利的成矿空间,成为构成夕卡岩型铁矿矿集区的决定性因素之一。     

老挝帕奔金矿成矿流体特征及成因类型

帕奔金矿位于琅勃拉邦—黎府(泰国)成矿带的中部,矿床容矿围岩主要为灰岩,矿体严格受NNW—近SN向断裂控制。流体包裹体研究表明,含矿方解石中包裹体为液、气两相包裹体,以液相为主;成矿均一温度为164~252℃,平均盐度(w(NaCl,eq))为1.77%~7.64%,具中低温、低盐度特征;估算成矿压力为9.34×10~5~21.37×10~5 Pa,成矿深度为0.48~0.960km;矿石中方解石的碳同位素δ(~(13) C_(V-PDB))=-4.5×10~(-3)~-5.2×10~(-3),氧同位素δ(~(18) O_(V-SMOW))=20.3×10~(-3)~21.1×10~(-3),方解石为流体与二叠系海相碳酸盐岩相互作用的产物。综合分析认为帕奔金矿为浅成中低温热液型金矿床。     

西秦岭大水金矿床方解石Sm-Nd等时线年龄及其地质意义

大水金矿床位于西秦岭造山带南缘,矿床中金矿化与硅化、去碳酸盐化和方解石化密切相关。硅化主要表现为石英或玉髓交代(白云质)灰岩,在石英中常见灰岩或白云质灰岩的交代残余碎屑,在石英颗粒内或裂隙中见有自然金颗粒,说明硅化、去碳酸盐化和金矿化是同步的;成矿期的脉状-网脉状载金方解石主要分布于硅化-去碳酸盐化蚀变带的边缘或附近裂隙中,说明方解石的结晶与金矿化同步或稍晚。对该矿床成矿期的8件载金方解石样品进行了Sm-Nd同位素定年体系研究,方解石的147Sm/144Nd值变化于0.069 489~2.243 873,143Nd/144Nd值变化于0.511 673~0.514 369,获得Sm-Nd等时线年龄为(189.4±1.4)Ma,代表了大水金矿床的成矿年龄。大水金矿床的成矿时限与秦岭造山运动相关的碰撞型花岗闪长岩岩浆活动时限一致;此外,前人的稀土元素地球化学、黄铁矿Co/Ni比值及H-O同位素研究亦表明成矿物质来源与花岗闪长岩岩浆活动关系密切,因而本次获得的大水金矿床成矿年龄,在一定程度上为"大水金矿床的金成矿与花岗闪长岩岩浆活动存在成因联系"提供了年代学证据。     

Stochastic Distance Based Geological Boundary Modeling with Curvilinear Features

Obtaining accurate geological boundaries and assessing the uncertainty in these limits are critical for effective ore resource and reserve estimation. The uncertainty in the extent of an ore body can be the largest source of uncertainty in ore resource estimation when drilling is sparse. These limits are traditionally interpreted deterministically and it can be difficult to quantify uncertainty in the boundary and its impact on ore tonnage. The proposed methodology is to consider stochastic modeling of the ore boundary with a distance function recoding of the available data. This technique is modified to incorporate non-stationarities in the form of a locally varying anisotropy field used in kriging and sequential Gaussian simulation. Implementing locally varying anisotropy kriging retains the geologically realistic features of a deterministic model while allowing for a stochastic assessment of uncertainty. A case study of a gold deposit in Northern Canada is used to demonstrate the methodology. The proposed technique generates realistic, curvilinear geological boundary models and allows for an assessment of the uncertainty in the model.     

Effects of search parameters on kriged reserve estimates

Summary Reliable ore reserve estimates for deposits with highly skewed grade distributions are difficult tasks to perform. Although some recent geostatistical techniques are available to handle problems with these estimations, ordinary kriging or conventional interpolation methods are still widely used to estimate the ore reserves for such deposits. The estimation results can be very sensitive to the search parameters used during the interpolation of grades with these methods.This paper compares the ore reserve estimates from ordinary kriging using several cases in which certain search parameters are varied. The comparisons are extended to different mineralizations to show the changing effects of these parameters.     

地质统计学储量估算中块尺寸的合理选择

在矿产勘查、矿山设计、生产及管理等各阶段都需要进行资源储量估算的工作。地质统计学方法相对于传统储量估算方法具有明显优势,在资源储量估算中获得了广泛的应用。估值过程中单元块尺寸的合理选择对储量估算结果至关重要,然而,在以往实践中块尺寸通常根据经验或主观判断进行选择,缺乏科学依据。本文在总结前人工作及地质统计学资源储量估算经验的基础上,将块尺寸的选取问题明确地划分为勘探阶段和生产阶段。针对不同阶段的特点,重点讨论了块尺寸与品位、储量、估计精度、选别开采单元的关系,为块尺寸的合理选择提供参考。并以某特大型钼矿为工程背景,进行了深度解析及数据实验,得出了块尺寸不仅影响资源品位分布、矿石量而且影响开采技术经济指标的结论,综合考虑估计精度和选别开采单元,推荐该矿床选择15m×15m×15m的单元块尺寸进行储量估算。     

Modelling Short‐Scale Variability and Uncertainty During Mineral Resource Estimation Using a Novel Fuzzy Estimation Technique

For mineral resource assessment, techniques based on fuzzy logic are attractive because they are capable of incorporating uncertainty associated with measured variables and can also quantify the uncertainty of the estimated grade, tonnage etc. The fuzzy grade estimation model is independent of the distribution of data, avoiding assumptions and constraints made during advanced geostatistical simulation, e.g., the turning bands method. Initially, fuzzy modelling classifies the data using all the component variables in the data set. We adopt a novel approach by taking into account the spatial irregularity of mineralisation patterns using the Gustafson–Kessel classification algorithm. The uncertainty at the point of estimation was derived through antecedent memberships in the input space (i.e., spatial coordinates) and transformed onto the output space (i.e., grades) through consequent membership at the point of estimation. Rather than probabilistic confidence intervals, this uncertainty was expressed in terms of fuzzy memberships, which indicated the occurrence of mixtures of different mineralogical phases at the point of estimation. Data from different sources (other than grades) could also be utilised during estimation. Application of the proposed technique on a real data set gave results that were comparable to those obtained from a turning bands simulation.